327 Open source projects that are alternatives of or similar to Transferlearning Tutorial

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

Neural Paiters

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Open Toolkit for Painless Object Detection

NLP library designed for reproducible experimentation management

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Transfer learning for time series classification

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

A library for transfer learning by reusing parts of TensorFlow models.

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Abstractive summarisation using Bert as encoder and Transformer Decoder

resources for the IBM Airlines Table-Question-Answering Benchmark

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.

CNN image classifier implemented in Keras Notebook 🖼️.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

web site of robotics.rs. See index.md.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

self-supervised domain adaptation

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

一些关于机器学习的学习资料与研究介绍

REVOLVER - Repeated Evolution in Cancer

High Quality Monocular Depth Estimation via Transfer Learning

PyTorch implementation of "Pyramid Scene Parsing Network".

Awsome Japanese Coding Fonts

No description or website provided.

Gradients as Features for Deep Representation Learning

Transfer learning algorithm TrAdaboost,coded by python

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

Awesome Resources for Advanced Computer Vision Topics

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Play MK.js with TensorFlow.js

Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

🌟 A curated list of Awesome Shiny Apps for Statistics (ASAS)🌟

Attending to Discriminative Certainty for Domain Adaptation

Deepfakes Video classification via CNN, LSTM, C3D and triplets

A set of deep learning models for FRB/RFI binary classification.

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Skin cancer classification using Inceptionv3

Code for Sluice networks: Learning what to share between loosely related tasks

Inception V3 for Transfer Learning on Cats and Dogs

Awesome Egg.js Web Framework and Plugin.

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

A collection of implementations of deep domain adaptation algorithms

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

A PyTorch implementation for Adversarial Discriminative Domain Adaptation